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Review demonstrates a novel VOC-centric framework improving PMI estimation accuracy by integrating multidisciplinary data.
Summary This review proposes a novel volatile organic compound (VOC)-centric biological interaction network that integrates microbial community succession, insect colonization patterns, and dynamic VOC profiles. This framework transcends traditional single-factor analyses to enhance postmortem interval (PMI) prediction accuracy. VOCs serve as critical chemical mediators, orchestrating microbial-insect interactions by modulating insect behavior and succession patterns. Through stage-specific analysis of VOC evolution and cross-correlation between microbial shifts and insect colonization, we established a "insect-VOCs-MCs" timeline model that maps temporal interdependencies among the three factors. Combined analysis of these elements compensates for the limitations of individual characteristics, improving PMI estimation accuracy. This framework emphasizes the integrative value of multidisciplinary data—forensic microbiology, entomology, and chemical analytics—and advances decomposition science from a holistic, systems-level perspective.
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Han et al. (2026) studied this question.
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